Senior Technical Platform Architect

CAI; Juneau (AK); Remote; USD 170,000 - 190,000; Full time

Job summary

A leading technology company is seeking a Senior Technical Platform Architect to design and implement scalable, AI-driven data platforms. This remote role requires over 7 years of experience in microservices architecture and strong expertise in Azure and AWS services. The ideal candidate will have excellent leadership and problem-solving skills, along with a Bachelor's degree in a relevant field.

Benefits

Medical insurance

Dental insurance

Vision insurance

401k retirement account access

Paid time off

Qualifications

• 7+ years of experience in microservices architecture, platform engineering, or solution design.
• Strong hands-on experience with Azure platform architecture.
• Excellent problem-solving and communication skills.

Responsibilities

• Design and implement scalable microservices architectures.
• Collaborate with clients to understand requirements.
• Lead technical design of infrastructure and solution blueprints.

Skills

Microservices architecture

Azure platform architecture

Leadership skills

AWS services

CI/CD orchestration

Containerized deployments

Programming languages

Education

Bachelor's degree in computer science or related field

Tools

Azure DevOps

GitHub Actions

Docker

Kubernetes

Python

Java

Job description

Job ID Number

R5723

Employment Type

Full time

Worksite Flexibility

Remote

Job Summary

We are looking for a Senior Technical Platform Architect ready to take us to the next level! If you are a strategic thinker with a robust technical background and strong leadership skills to help guide enterprise-level projects and are looking for your next career move, apply now!

Job Description

We are looking for a Senior Technical Platform Architect to help implement and manage cutting-edge data platforms while ensuring they are scalable, reliable, and optimized for AI-driven insights. This position will be full-time and remote.

What You’ll Do

• Design and implement scalable microservices architectures to support data platforms and AI applications, enhancing flexibility and performance

• Define scalable reference architectures for AI, data, and automation platforms across Azure and AWS

• Collaborate with clients to understand their requirements and design tailored data solutions, ensuring delivery meets or exceeds expectations

• Engage in hands-on prototyping of new technology solutions, collaborating across teams to drive innovation

• Lead technical design of infrastructure and solution blueprints that span services such as Azure ML, OpenAI, SageMaker, Lambda, and API Gateway

• Technical oversight of Azure DevOps pipelines and GitHub Actions to automate build, test, deployment, and infrastructure provisioning

• Define best practices for deploying AI models, APIs, data pipelines, and copilots into secure, multi-tenant environments

• Work closely with business and technical teams throughout the software development life cycle, making major technical and architectural decisions

• Maintain architectural documentation and technical assets including diagrams, runbooks, and playbooks

• Evaluate and select third-party components, frameworks, or accelerators to support GenAI/ML system delivery

What You'll Need

Required:

• 7+ years of experience in microservices architecture, platform engineering, or solution design

• Bachelor's degree in computer science, information technology, data science, data analytics, or a related field

• Strong leadership skills with experience in enterprise-level projects and executive engagement.

• Strong hands-on experience with Azure platform architecture, including services such as Azure ML, OpenAI, App Services, Key Vault, and Azure Functions

• Working experience with AWS services such as SageMaker, Lambda, ECS/EKS, and S3

• Proficiency in Azure DevOps (Repos, Pipelines, Artifacts) and/or GitHub Actions for CI/CD orchestration

• Experience in containerized deployments (Docker, Kubernetes, AKS, EKS) and microservices architecture

• Ability to design multi-cloud architectures that account for compliance, cost, and technical complexity

• Familiarity with .NET framework and programming languages (Python, R, Scala, Java)

• Excellent problem-solving, communication, presentation and teamwork skills

Preferred:

• Familiarity with hybrid environments and cloud migration strategy

• Microsoft or AWS certifications (e.g., Azure Solutions Architect Expert, AWS Certified Solutions Architect)

• Exposure to public sector or regulated industries (e.g., state government, healthcare, education)

• Experience supporting production environments and troubleshooting complex cloud-native systems

• Familiarity with GenAI models and AWS Bedrock experience

• Experience in Agile methodology and working on Agile projects

Physical Demands

• Ability to safely and successfully perform the essential job functions

• Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.

• Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor

The pay range for this position is $170,000 - $190,000 annually (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit package includes medical, dental, and vision insurance, as well as 401k retirement account access. Employees in this role receive paid time off and may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

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Reasonable Accommodation Statement

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to [e-mail] or (888) 824 – 8111.

Equal Employment Opportunity Policy Statement

CAI is committed to equal employment opportunity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability, or veteran status. All employment decisions are based on valid job requirements, including hiring, promotion, and compensation. Harassment and retaliation are prohibited.